Big Tech's AI buildout hides $1.65 trillion in off-balance-sheet obligations
Big Tech’s AI buildout carries $1.65 trillion of debt you will not find on a balance sheet.
What the investigation found
A Nikkei Asia investigation added up the off-balance-sheet obligations of Alphabet, Microsoft, Amazon, Meta, and Oracle: data-center leases, GPU supply contracts, joint ventures with private credit funds, and special-purpose vehicles.
The total comes to about $1.65 trillion. For perspective, that is more than the $1.35 trillion of debt these five companies officially report. And the hidden pile has grown roughly eightfold in four years, tracking the AI capex boom almost exactly.
The warnings on top
Two credit-market voices add weight to the raw number. Moody’s points out that many of the leases are pre-operational: companies are committed to paying for capacity that earns nothing yet. A lease on a data center still under construction is a fixed obligation with zero offsetting revenue until the facility goes live and fills with paying workloads.
Morgan Stanley, meanwhile, estimates industry-wide off-balance-sheet AI exposure even higher, at around $1.8 trillion, suggesting the five-company total understates the sector-wide picture.
What it does and does not mean
None of this is illegal, and none of it means a crash tomorrow. Leases, supply contracts, and joint ventures are standard corporate finance, and the accounting that keeps them off the balance sheet follows the rules.
What it means is narrower and still important: the real leverage behind the AI race is roughly double what the official numbers show. Investors reading reported debt figures are seeing half the commitment. And the structure has a timing quirk worth remembering: when those facilities go live, the leases roll onto the books all at once, converting invisible obligations into visible ones in bunches.
That is the frame to keep in mind every time a capex forecast gets a standing ovation. The applause is for the number on stage. The other $1.65 trillion is standing just off it.
Does the AI buildout math worry you yet? It is at least worth rereading before next earnings season.
Sources
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